Travelled to:1 × Australia
1 × Germany
1 × Portugal
1 × Switzerland
1 × USA
Collaborated with:R.Akbarinia A.Marascu S.Salah Y.Lechevallier T.Allard G.Hébrail E.Pacitti C.Zhang Y.Hao M.Mazuran C.Zaniolo H.Mousavi
Talks about:stream (4) time (3) seri (3) data (3) frequent (2) itemset (2) mine (2) fast (2) parameterless (1) relationship (1)
Person: Florent Masseglia
DBLP: Masseglia:Florent
Contributed to:
2015
2015
201320102009Wrote 6 papers:
- MLDM-2015-AkbariniaM #probability #streaming
- Aggregation-Aware Compression of Probabilistic Streaming Time Series (RA, FM), pp. 232–247.
- MLDM-2015-SalahAM #mining #optimisation #performance #pipes and filters
- Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce (SS, RA, FM), pp. 217–231.
- SIGMOD-2015-AllardHMP #clustering #named #privacy
- Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering (TA, GH, FM, EP), pp. 779–794.
- SAC-2013-ZhangHMZMM #data type #mining
- Mining frequent itemsets over tuple-evolving data streams (CZ, YH, MM, CZ, HM, FM), pp. 267–274.
- SAC-2010-MarascuML #approximate #performance #set #streaming
- A fast approximation strategy for summarizing a set of streaming time series (AM, FM, YL), pp. 1617–1621.
- SAC-2009-MarascuM #data type #detection
- Parameterless outlier detection in data streams (AM, FM), pp. 1491–1495.